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|
use super::{
ExtraConfig, OpenAIClient, PromptType, SendData,
};
use crate::{
config::{ModelInfo, TokensCountFactors},
render::ReplyHandler,
utils::PromptKind,
};
use anyhow::{anyhow, bail, Result};
use async_trait::async_trait;
use futures_util::StreamExt;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use reqwest_eventsource::{Error as EventSourceError, Event, RequestBuilderExt};
use serde::Deserialize;
use serde_json::{json, Value};
use std::env;
const API_BASE: &str = "https://api.openai.com/v1";
const MODELS: [(&str, usize); 4] = [
("gpt-3.5-turbo", 4096),
("gpt-3.5-turbo-16k", 16384),
("gpt-4", 8192),
("gpt-4-32k", 32768),
];
pub const OPENAI_TOKENS_COUNT_FACTORS: TokensCountFactors = (5, 2);
#[derive(Debug, Clone, Deserialize, Default)]
pub struct OpenAIConfig {
pub name: Option<String>,
pub api_key: Option<String>,
pub organization_id: Option<String>,
pub extra: Option<ExtraConfig>,
}
openai_compatible_client!(OpenAIClient);
impl OpenAIClient {
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptType<'static>; 1] =
[("api_key", "API Key:", true, PromptKind::String)];
pub fn list_models(local_config: &OpenAIConfig, index: usize) -> Vec<ModelInfo> {
let client = Self::name(local_config);
MODELS
.into_iter()
.map(|(name, max_tokens)| {
ModelInfo::new(index, client, name)
.set_max_tokens(Some(max_tokens))
.set_tokens_count_factors(OPENAI_TOKENS_COUNT_FACTORS)
})
.collect()
}
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let api_key = self.get_api_key()?;
let body = openai_build_body(data, self.model_info.name.clone());
let env_prefix = Self::name(&self.config).to_uppercase();
let api_base = env::var(format!("{env_prefix}_API_BASE"))
.ok()
.unwrap_or_else(|| API_BASE.to_string());
let url = format!("{api_base}/chat/completions");
let mut builder = client.post(url).bearer_auth(api_key).json(&body);
if let Some(organization_id) = &self.config.organization_id {
builder = builder.header("OpenAI-Organization", organization_id);
}
Ok(builder)
}
}
pub async fn openai_send_message(builder: RequestBuilder) -> Result<String> {
let data: Value = builder.send().await?.json().await?;
if let Some(err_msg) = data["error"]["message"].as_str() {
bail!("{err_msg}");
}
let output = data["choices"][0]["message"]["content"]
.as_str()
.ok_or_else(|| anyhow!("Invalid response data: {data}"))?;
Ok(output.to_string())
}
pub async fn openai_send_message_streaming(
builder: RequestBuilder,
handler: &mut ReplyHandler,
) -> Result<()> {
let mut es = builder.eventsource()?;
while let Some(event) = es.next().await {
match event {
Ok(Event::Open) => {}
Ok(Event::Message(message)) => {
if message.data == "[DONE]" {
break;
}
let data: Value = serde_json::from_str(&message.data)?;
if let Some(text) = data["choices"][0]["delta"]["content"].as_str() {
handler.text(text)?;
}
}
Err(err) => {
match err {
EventSourceError::InvalidStatusCode(_, res) => {
let data: Value = res.json().await?;
if let Some(err_msg) = data["error"]["message"].as_str() {
bail!("{err_msg}");
}
bail!("Request failed");
}
EventSourceError::StreamEnded => {}
_ => {
bail!("{}", err);
}
}
es.close();
}
}
}
Ok(())
}
pub fn openai_build_body(data: SendData, model: String) -> Value {
let SendData {
messages,
temperature,
stream,
} = data;
let mut body = json!({
"model": model,
"messages": messages,
});
if let Some(v) = temperature {
body["temperature"] = v.into();
}
if stream {
body["stream"] = true.into();
}
body
}
|
